The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Unconditional Convergence in Manufacturing *
Abstract
Unlike economies as a whole, manufacturing industries exhibit strong unconditional convergence in labor productivity. The article documents this at various levels of disaggregation for a large sample covering more than 100 countries over recent decades. The result is highly robust to changes in the sample and specification. The coefficient of unconditional convergence is estimated quite precisely and is large, at between 2–3% in most specifications and 2.9% a year in the baseline specification covering 118 countries. The article also finds substantial sigma convergence at the two-digit level for a smaller sample of countries. Despite strong convergence within manufacturing, aggregate convergence fails due to the small share of manufacturing employment in low-income countries and the slow pace of industrialization. Because of data coverage, these findings should be as viewed as applying to the organized, formal parts of manufacturing.
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Citations
Cites
Biases in dynamic models with fixed effects
Nickell, S. (1981) · Econometrica · doi:10.2307/1911408 · Cited by 8,735
Misallocation and Manufacturing TFP in China and India*
Hsieh, C.-T., & Klenow, P. J. (2009) · Quarterly Journal of Economics · doi:10.1162/qjec.2009.124.4.1403 · Cited by 4,175
Convergence Across States and Regions
Barro, R. J., Sala-I-Martin, X., Blanchard, O. J., & Hall, R. E. (1991) · Brookings Papers on Economic Activity · doi:10.2307/2534639 · Cited by 3,420
Productivity Growth, Convergence, and Welfare: What the Long-Run Data Show
Baumol, W. (2003) · Growth, Industrial Organization and Economic Generalities · doi:10.4337/9781035304950.00007 · Cited by 2,786
Introduction to Modern Economic GrowthPreprint
Acemoğlu, D. (2007) · RePEc: Research Papers in Economics · Cited by 2,433
Misallocation and Manufacturing TFP in China and India
Hsieh, C.-T., & Klenow, P. (2007) · National Bureau of Economic Research · doi:10.3386/w13290 · Cited by 1,934
Reallocation, Firm Turnover, and Efficiency: Selection on Productivity or Profitability?
Foster, L., Haltiwanger, J., & Syverson, C. (2008) · American Economic Review · doi:10.1257/aer.98.1.394 · Cited by 1,861
Across-Product Versus Within-Product Specialization in International Trade
Schott, P. K. (2004) · The Quarterly Journal of Economics · doi:10.1162/0033553041382201 · Cited by 1,341
Productivity Growth, Convergence and Welfare: What the Long Run Data ShowPreprint
Baumöl, W. J. (1985) · RePEc: Research Papers in Economics · Cited by 1,141
Globalization, Structural Change and Productivity Growth
McMillan, M., & Rodrik, D. (2011) · doi:10.3386/w17143 · Cited by 1,104
Self-citation
Cited by
Rodrik, D. (2016) · Journal of Economic Growth · doi:10.1007/s10887-015-9122-3 · Cited by 2,236
Self-citationThe Importance of Manufacturing in Economic Development: Has This Changed?
Haraguchi, N., Cheng, C. F. C., & Smeets, E. (2017) · World Development · doi:10.1016/j.worlddev.2016.12.013 · Cited by 533
Fertilizing growth: Agricultural inputs and their effects in economic development
McArthur, J. W., & McCord, G. C. (2017) · Journal of Development Economics · doi:10.1016/j.jdeveco.2017.02.007 · Cited by 391
New Technologies, Global Value Chains, and Developing Economies
Rodrik, D. (2018) · doi:10.3386/w25164 · Cited by 382
Self-citationBarro, R. J. (2015) · The Economic Journal · doi:10.1111/ecoj.12247 · Cited by 323
Metadata
- Authors
- Rodrik, D.
- Venue
- The Quarterly Journal of Economics
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-11-18
- Volume
- 128
- Issue
- 1
- Pages
- 165-204
- ISSN
- 0033-5533 (ISSN-L)
- 1531-4650
- OpenAlex
- W2090438200
- Cited by
- 940
- References
- 23
- FWCI
- 72.72
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
